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Record W4394134249 · doi:10.6084/m9.figshare.787744.v1

Survivorship, Site Fidelity and Weight Dynamics of Male Hybomitra aurilimba (Diptera: Tabanidae) at a Hilltop Mating Arena

2013· dataset· en· W4394134249 on OpenAlexaboutno aff
Stephen M. Smith

Bibliographic record

VenueFigshare · 2013
Typedataset
Languageen
FieldMedicine
TopicMosquito-borne diseases and control
Canadian institutionsnot available
Fundersnot available
KeywordsSurvivorship curveMatingFidelityDynamics (music)GeographyAdult maleBiologyEcologyDemographyComputer sciencePsychologySociologyTelecommunications

Abstract

fetched live from OpenAlex

I present a mark-release-recapture study of individually marked males of the horsefly Hybomitra aurilimba (Stone) (Diptera: Tabanidae) at a hilltop mating arena in southern Ontario, Canada; the study occupied much of the seasonal on-wing period of the males. Survivorship, population size, daily recruitment and site fidelity were examined by recapture of marked males. Flies were often recaptured on the day of marking and thereafter on up to 7 different days, covering periods up to 16 d following marking. The population was small (<100 males) with a relatively high daily recruitment. The males exhibited pronounced and prolonged fidelity to both the overall mating arena and to individual hovering sites within the arena. Mean daily survivorship was relatively high (0.84 ± 0.021 (SEM)), leading to a mean on-site residency time of 5.7 d (95% CL: 4.4–7.9 d). Marked and recaptured males were weighed; they exhibited highly individual patterns of substantial weight losses and gains, both within and among days.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.445
Threshold uncertainty score0.884

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.244
Teacher spread0.228 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreDataset

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2013
Admission routes1
Has abstractyes

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